A vehicle-to-vehicle wireless charging rescue method and device based on AGV

Abstract

The present invention discloses a vehicle-to-vehicle wireless charging rescue method and device based on an AGV trolley. The AGV trolley, as the power supply of the electric vehicle wireless charging rescue system, makes full use of its unmanned driving and artificial intelligence characteristics, combined with the vehicle-to-vehicle wireless charging technology, to quickly provide charging services for electric vehicles in urgent need of rescue. When the client electric vehicle is low on power, a charging request is sent through a mobile device. The energy trading platform can search and match a suitable charging-end AGV trolley that can provide charging according to the geographical location of the client electric vehicle, and charge the client electric vehicle nearby. At the same time, the charging-end AGV trolley obtains certain benefits. The present invention solves the "mileage anxiety" of electric vehicle users, improves the economic benefits of electric vehicles, and reduces carbon emissions. Moreover, the service scope is wide, and no manual service is required. Not only in cities, but also in villages and towns on the edge of cities, as long as there are electric vehicles, services can be obtained.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology, and in particular to an inter-vehicle wireless charging rescue method and device based on an AGV trolley. Background Art

[0002] As energy conservation and environmental protection issues such as energy and environment are becoming more important, the development of electric vehicles is becoming increasingly rapid. However, electric vehicles still bring many concerns to consumers when purchasing. The most important issue is the battery life of electric vehicles. However, the development of batteries is a slow process. In addition, even if a "super-long battery life" battery is discovered, the cost must be considered before it can be truly applied to electric vehicles.

[0003] At present, electric vehicles on the market are mainly charged by wire (plug-in charging). The application of wireless charging technology in the field of electric vehicles is developing rapidly. Well-known automobile companies, such as Tesla, Nissan, BMW, etc. are actively developing wireless charging technology for electric vehicles.

[0004] As the number of electric vehicles increases significantly, it is sometimes difficult to find a charging station to charge, especially in densely populated charging parking lots in large cities. Because the charging time of electric vehicles is generally half an hour to more than seven or eight hours, depending on the capacity of the battery and the charging rate of the charger. So if the charging station is occupied, subsequent electric vehicles will not be able to be charged. In addition, friends who buy electric vehicles sometimes encounter a troublesome problem, that is, the electric vehicle runs out of power on the way. Especially in winter, when you go out, you find that the power is still 80%, but the car runs out of power after driving a few kilometers. However, there is no charging station nearby, and you may have to wait for several hours to wait for the rescue vehicle. Because the battery power will drop sharply as the temperature drops. We also find this problem when using mobile phones. In order to solve the above technical problems, reduce consumers' concerns about electric vehicle battery charging problems, expand the consumer market of electric vehicles, and maximize energy conservation and emission reduction, wireless charging technology between vehicles has been proposed.

[0005] At present, there are patents on energy trading models between vehicles, such as CN111709795A, which discloses an electric vehicle energy management method. When an electric vehicle is in a critical energy situation, it can find other nearby electric vehicles that can provide charging services, and use energy transmission technology between electric vehicles to charge the electric vehicle in a timely manner. However, at present, electric vehicle rescue mainly uses "power bank" electric vehicles or battery replacement technology, which usually requires manual intervention and has a limited service scope.

[0006] The most notable feature of the mobile robot vehicle (AGV) is that it is unmanned. The AGV is equipped with an automatic guidance system, which can ensure that the system can automatically travel along the predetermined route without the need for manual navigation, and automatically transport goods or materials from the starting point to the destination. Another feature of the AGV is good flexibility, high degree of automation and high level of intelligence.

[0007] However, although the wireless charging technology of electric vehicles and the wireless charging technology of AGVs already exist, wireless charging technology can make charging of electric vehicles more convenient and safe, but only wireless charging of a single electric vehicle still cannot give full play to the true mobility and flexibility of wireless charging. At the same time, the energy trading model of the wireless charging rescue system based on the AGV has not been proposed. Based on this, the present invention uses the AGV as the power supply of the electric vehicle wireless charging rescue system, fully utilizing its unmanned driving and artificial intelligence characteristics, and combining the vehicle-to-vehicle wireless charging technology to propose a vehicle-to-vehicle wireless charging rescue method based on the AGV, which can quickly provide charging services for electric vehicles in urgent need of rescue, and the service scope is not limited to cities. In villages and towns on the edge of cities, as long as there are electric vehicles, services can be provided. Summary of the invention

[0008] The purpose of the present invention is to provide a vehicle-to-vehicle wireless charging rescue method and device based on an AGV trolley. By adopting wireless charging between cluster vehicles, the collaborative flexibility of wireless charging in electric vehicle power supply technology can be maximized, the "range anxiety" of electric vehicle owners can be reduced, and the electric vehicle market can be expanded.

[0009] In order to achieve the above object, the present invention provides the following technical solutions:

[0010] In a first aspect, the present invention provides a vehicle-to-vehicle wireless charging rescue method based on an AGV, comprising the following steps:

[0011] S101, extracting the vehicle-mounted information of the electric vehicle from the client, where the vehicle-mounted information of the electric vehicle includes: the geographical location of the electric vehicle, the estimated mileage to the destination or the nearby charging station, and the driving efficiency of the electric vehicle;

[0012] S102. According to the geographical location of the client electric vehicle, the energy trading platform searches for the information of the AGV car that can be charged within a certain range. The AGV car information includes: the geographical location of the AGV car, the estimated mileage of the AGV car, the driving efficiency of the AGV car, and the battery information of the AGV car;

[0013] S103, calculating the distance between the client electric vehicle and each charging terminal AGV in the sample, calculating the energy required by the client electric vehicle, calculating the energy that each charging terminal AGV in the sample can provide, and the energy trading platform determines the efficiency and price in the wireless charging mode;

[0014] S104, calculating the difference between the energy that the charging-end AGV can provide and the energy required by the client electric vehicle, filtering out sample information of all charging-end AGVs whose difference is greater than 0, extracting battery information from new charging-end electric vehicle sample data, and calculating the loss;

[0015] S105, input the initial purchase price of the AGV car at the charging end, and calculate the revenue of the AGV car at the charging end and the fees that the electric car at the demand end needs to pay;

[0016] S106, screening the final charging end AGV car, sending the relevant information of the best charging end AGV car to the client electric car for screening, and providing charging rescue service after the system matches.

[0017] Furthermore, the price of the wireless charging mode is segmented according to the demand for charging rescue.

[0018] Furthermore, the screening mode is divided into two cases:

[0019] The screening target is to select the AGV car with the highest profit at the charging end;

[0020] The screening target is to have the lowest payment for electric vehicles on the demand side.

[0021] Furthermore, the AGV car adopts the centralized power supply of the AGV car wireless charging station. After the AGV car completes the wireless charging rescue mission, it returns to the wireless charging station for energy replenishment. When the system receives a charging request next time, the system allocates a suitable AGV car to perform charging rescue service according to the designated automatic driving route.

[0022] Furthermore, the AGV wireless charging station uses solar energy or wind energy to wirelessly charge the AGV.

[0023] Furthermore, the battery information of the AGV includes the total battery storage capacity, discharge depth, cycle life and price.

[0024] In the second aspect, the present invention provides a vehicle-to-vehicle wireless charging rescue device based on an AGV, the device comprising an energy trading platform and an AGV wireless charging station. The AGV wireless charging station serves as the base camp of the AGV charging end of the entire wireless charging rescue system. The energy trading platform comprises:

[0025] A charging request receiving module is used to receive a charging request from a client vehicle and extract the vehicle-mounted information of the client electric vehicle, the vehicle-mounted information of the electric vehicle including: the geographical location of the electric vehicle, the estimated mileage to the destination or a nearby charging station, and the driving efficiency of the electric vehicle;

[0026] The AGV car search module is used to search for charging AGV cars that can be charged within a certain range according to the geographical location of the client's electric car;

[0027] The calculation module is used to calculate the distance between the client electric vehicle and each charging end AGV in the sample, the energy required by the client electric vehicle, the energy that each charging end AGV in the sample can provide, the difference between the energy that the charging end AGV can provide and the energy required by the client electric vehicle, the battery loss, the income of the charging end AGV and the fees that the demand-side electric vehicle needs to pay, and determine the efficiency and price in the wireless charging mode;

[0028] The AGV screening module screens out sample information of all charging-end AGVs whose difference is greater than 0, based on the difference between the energy that the charging-end AGV can provide and the energy required by the client electric vehicle.

[0029] The location information sending module is used to send the relevant information of the best charging end AGV car to the client electric car for screening.

[0030] In a third aspect, the present invention provides an electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0031] Memory, used to store computer programs;

[0032] The processor is used to implement the steps of the method provided in the first aspect when executing the program stored in the memory.

[0033] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method provided in the first aspect are implemented.

[0034] In a fifth aspect, the present invention provides a computer program product comprising instructions, which, when executed on a computer, enables the computer to execute the steps of the method provided in the first aspect.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] The present invention provides a vehicle-to-vehicle wireless charging rescue method and device based on an AGV car. The AGV car, as the power supply of the electric vehicle wireless charging rescue system, makes full use of its unmanned driving and artificial intelligence characteristics, combined with the vehicle-to-vehicle wireless charging technology, and can quickly provide charging services for electric vehicles in urgent need of rescue. When the client electric vehicle is insufficient in power, a charging request can be issued through a mobile device. The energy trading platform can search and match a suitable charging end AGV car that can provide charging according to the geographical location (latitude and longitude) of the client electric vehicle, and charge the client electric vehicle nearby. At the same time, the charging end AGV car obtains certain benefits. The present invention can solve the "mileage anxiety" of electric vehicle users, improve the economic benefits of electric vehicles, and reduce carbon emissions. Moreover, the service scope is wide, and no manual service is required. Not only in cities, but also in villages and towns on the edge of cities, as long as there are electric vehicles, services can be obtained. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0038] Figure 1 A flow chart of the inter-vehicle wireless charging rescue method based on the AGV trolley provided by the present invention;

[0039] Figure 2 This is an application scenario of the energy trading model between vehicles provided in Example 1 of the present invention;

[0040] Figure 3 A flow chart of a vehicle-to-vehicle wireless charging rescue method based on an AGV provided in Example 2 of the present invention;

[0041] Figure 4 A schematic diagram of the structure of a resource allocation device for a federated learning system with wireless power supply provided in Embodiment 4 of the present invention;

[0042] Figure 5 This is a schematic diagram of the structure of an electronic device provided in Example 5 of the present invention.

[0043] Figure 6 This is an application example provided for Embodiment 6 of the present invention (this map area is only a map of the urban area of ​​Shenzhen City). DETAILED DESCRIPTION

[0044] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0045] The vehicle-to-vehicle wireless charging rescue method based on the AGV car provided by the present invention (energy trading model between vehicles) is as follows: Figure 1 As shown, the following steps are included:

[0046] S101, extracting the vehicle-mounted information of the electric vehicle from the client, where the vehicle-mounted information of the electric vehicle includes: the geographical location of the electric vehicle, the estimated mileage to the destination or the nearby charging station, and the driving efficiency of the electric vehicle;

[0047] S102. According to the geographical location of the client electric vehicle, the energy trading platform searches for the information of the AGV car that can be charged within a certain range. The AGV car information includes: the geographical location of the AGV car, the estimated mileage of the AGV car, the driving efficiency of the AGV car, and the battery information of the AGV car;

[0048] S103, calculating the distance between the client electric vehicle and each charging terminal AGV in the sample, calculating the energy required by the client electric vehicle, calculating the energy that each charging terminal AGV in the sample can provide, and the energy trading platform determines the efficiency and price in the wireless charging mode;

[0049] S104, calculating the difference between the energy that the charging-end AGV can provide and the energy required by the client electric vehicle, filtering out sample information of all charging-end AGVs whose difference is greater than 0, extracting battery information from new charging-end electric vehicle sample data, and calculating the loss;

[0050] S105, input the initial purchase price of the AGV car at the charging end, and calculate the revenue of the AGV car at the charging end and the fees that the electric car at the demand end needs to pay;

[0051] S106, screening the final charging end AGV car, sending the relevant information of the best charging end AGV car to the client electric car for screening, and providing charging rescue service after the system matches.

[0052] The following is an introduction in conjunction with specific embodiments.

[0053] Example 1

[0054] The application scenarios of the energy trading model between vehicles of the present invention are as follows: Figure 2 shown.

[0055] For example, when electric car B is going to destination C, but the battery of electric car B is only 20%, which is not enough to reach the destination. The driver of electric car B can send a charging request through the mobile device APP. At this time, electric car B is the client electric car. According to the location of the client electric car B, the APP will search for relevant information about AGV cars that can provide charging services within a certain range from the client electric car B, and then match the appropriate charging terminal AGV car A through the energy trading model.

[0056] The matching of energy trading models is determined by the following related factors:

[0057] 1. Client electric vehicles:

[0058] Geographic information (latitude and longitude);

[0059] The amount of electricity required to reach the destination / nearby charging station;

[0060] Vehicle type related information: license plate number, model, efficiency (miles / kWh).

[0061] 2. AGV car at the charging end:

[0062] Geographic information (latitude and longitude);

[0063] The amount of power available;

[0064] Vehicle-related information: license plate number, model, efficiency (miles / kWh), battery.

[0065] 3. Customized variables of energy trading model:

[0066] Charging mode: wireless charging;

[0067] Electricity price sold: Electricity price is defined in different sections according to whether it is the peak period of electricity demand;

[0068] Purchased electricity price: The AGV car can use new energy (solar / wind energy) for charging;

[0069] Carry out centralized charging (small AGV car charging station).

[0070] Example 2

[0071] The vehicle-to-vehicle wireless charging rescue method based on the AGV car provided in the embodiment of the present invention has the following process: Figure 3 As shown, specifically including:

[0072] 1. Extract the client electric vehicle onboard information:

[0073] Geographic location (latitude, longitude): Location (Latitude C_N, Longitude C_E);

[0074] Estimated mileage / to destination or nearby charging station: Dist_C (mi);

[0075] Driving efficiency of electric vehicles: η_C (mi / kWh).

[0076] 2. Based on the geographical location of the client's electric vehicle, the energy trading platform searches for information on AGVs that can be charged within a certain range:

[0077]

[0078]

[0079] 3. Calculate the distance between the client electric vehicle and each charging end AGV car in the sample: DD.

[0080] 4. Calculate the energy Energy_C required by the client's electric vehicle.

[0081] 5. Calculate the energy Energy_S that can be provided by each charging end AGV in the sample.

[0082] The energy trading platform only provides wireless charging mode:

[0083] Charging Mode Wireless charging efficiency η_wireless Price P_wireless

[0084] The electricity price P_wireless can be priced in different segments according to the demand for charging rescue. For example, if the demand for charging rescue is high, the price will be higher; if the demand is low, the price will be lower.

[0085] 6. Calculate the difference Delta_E between the energy that the AGV can provide at the charging end and the energy required by the client electric vehicle.

[0086] 7. Filter out the sample information of all charging-end AGVs with Delta_E greater than 0, extract the battery information from the new charging-end electric vehicle sample data, and calculate the loss (Cost_d).

[0087] 8. Enter the initial purchase price of the AGV at the charging end (P_initial).

[0088] Calculate the revenue (Revenue) of the AGV car at the charging end and the fee (Price) that the electric car needs to pay at the demand end.

[0089] 9. Screen the final charging end AGV car:

[0090] The screening mode can be divided into two cases:

[0091] The screening target is to select the AGV car with the highest profit at the charging end to maximize the benefits of the power supply party;

[0092] The screening target is to minimize the payment for electric vehicles on the demand side. This method is more in line with the realization of green energy and dual carbon goals. The purpose of this invention is to expand the use of electric vehicles and reduce people’s “range anxiety” about electric vehicles. This mode is more preferred.

[0093] 10. Send relevant information of the best charging terminal AGV car to the client electric car for screening. After the system matches, charging rescue service can be provided.

[0094] Example 3

[0095] The present invention also provides an AGV wireless charging station, which serves as the base camp for the AGV car at the charging end of the entire wireless charging rescue system. After the AGV car completes the wireless charging rescue mission, it will return to the wireless charging station for energy replenishment. When the system receives a charging request next time, the system will assign a suitable AGV car to perform charging rescue services according to the specified automatic driving route. The AGV car wireless charging station can use new energy (solar energy, wind energy) to wirelessly charge the AGV car.

[0096] Example 4

[0097] The present invention provides a vehicle-to-vehicle wireless charging rescue device based on an AGV, which includes an energy trading platform and an AGV wireless charging station. The AGV wireless charging station serves as the base camp of the AGV charging end of the entire wireless charging rescue system. Figure 4 As shown, including:

[0098] The charging request receiving module 401 is used to receive the charging request of the client vehicle and extract the vehicle-mounted information of the client electric vehicle, the vehicle-mounted information of the electric vehicle includes: the geographical location of the electric vehicle, the estimated mileage to the destination or the nearby charging station and the driving efficiency of the electric vehicle;

[0099] The AGV car search module 402 is used to search for a charging terminal AGV car that can provide charging within a certain range according to the geographical location of the client electric car;

[0100] The calculation module 403 is used to calculate the distance between the client electric vehicle and each charging end AGV in the sample, the energy required by the client electric vehicle, the energy that each charging end AGV in the sample can provide, the difference between the energy that the charging end AGV can provide and the energy required by the client electric vehicle, the battery loss, the income of the charging end AGV and the fee that the demand end electric vehicle needs to pay, and determine the efficiency and price in the wireless charging mode;

[0101] The AGV screening module 404 screens out sample information of all charging-end AGVs whose difference is greater than 0, according to the difference between the energy that the charging-end AGV can provide and the energy required by the client electric vehicle;

[0102] The location information sending module 405 is used to send the relevant information of the best charging end AGV car to the client electric car for screening.

[0103] Example 5

[0104] Corresponding to the rescue method provided by the above embodiment of the present invention, the embodiment of the present invention also provides an electronic device, such as Figure 5 As shown, it includes a processor 501, a communication interface 502, a memory 503 and a communication bus 504, wherein the processor 501, the communication interface 502, and the memory 503 communicate with each other through the communication bus 504.

[0105] Memory 503, used for storing computer programs;

[0106] The processor 501 is used to implement the steps of any multi-intelligent reflective surface-assisted federated learning system resource allocation method provided in the above-mentioned embodiments of the present invention when executing the program stored in the memory 503.

[0107] The communication bus mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0108] The communication interface is used for communication between the above electronic device and other devices.

[0109] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0110] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0111] A computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the steps of any multi-intelligent reflection surface-assisted federated learning system resource allocation method provided in the above-mentioned embodiments of the present invention are implemented.

[0112] In another embodiment provided by the present invention, a computer program product containing instructions is also provided. When the computer is run on a computer, the computer executes the steps of any multi-intelligent reflection surface assisted federated learning system resource allocation method provided by the above-mentioned embodiments of the present invention.

[0113] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk Solid State Disk (SSD)), etc.

[0114] Example 6

[0115] The method and device of the present invention currently have application examples based on actual data and geographic information of electric vehicles in Shenzhen, such as Figure 6 As shown, the red mark is the mark of the selectable AGV car in the energy pool, the black mark is the mark of the electric car on the demand side, and the yellow (Supplier AGV) is the screening achieved through the algorithm proposed by the patent and MATLAB simulation software, and is marked with relevant information of the AGV.

[0116] The present invention provides a vehicle-to-vehicle wireless charging rescue method and device based on an AGV car. The AGV car, as the power supply of the electric vehicle wireless charging rescue system, makes full use of its unmanned driving and artificial intelligence characteristics, combined with the vehicle-to-vehicle wireless charging technology, and can quickly provide charging services for electric vehicles in urgent need of rescue. When the client electric vehicle is insufficient in power, a charging request can be issued through a mobile device. The energy trading platform can search and match a suitable charging end AGV car that can provide charging according to the geographical location (latitude and longitude) of the client electric vehicle, and charge the client electric vehicle nearby. At the same time, the charging end AGV car obtains certain benefits. The present invention can solve the "mileage anxiety" of electric vehicle users, improve the economic benefits of electric vehicles, and reduce carbon emissions. Moreover, the service scope is wide, and no manual service is required. Not only in cities, but also in villages and towns on the edge of cities, as long as there are electric vehicles, services can be obtained.

[0117] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0118] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, electronic device embodiment, computer-readable storage medium embodiment, and computer program product embodiment, since they are basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0119] The above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the aforementioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the aforementioned embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical specialties therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application. They should all be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A vehicle-to-vehicle wireless charging rescue method based on an AGV, characterized in that: The following steps are involved: S101, extracting the vehicle-mounted information of the electric vehicle from the client, where the vehicle-mounted information of the electric vehicle includes: the geographical location of the electric vehicle, the estimated mileage to the destination or the nearby charging station, and the driving efficiency of the electric vehicle; S102. According to the geographical location of the client electric vehicle, the energy trading platform searches for the information of the AGV car that can be charged within a certain range. The AGV car information includes: the geographical location of the AGV car, the estimated mileage of the AGV car, the driving efficiency of the AGV car, and the battery information of the AGV car; S103, calculating the distance between the client electric vehicle and each charging terminal AGV in the sample, calculating the energy required by the client electric vehicle, calculating the energy that each charging terminal AGV in the sample can provide, and the energy trading platform determines the efficiency and price in the wireless charging mode; S104, calculating the difference between the energy that the charging-end AGV can provide and the energy required by the client electric vehicle, filtering out sample information of all charging-end AGVs whose difference is greater than 0, extracting battery information from new charging-end electric vehicle sample data, and calculating the loss; S105, input the initial purchase price of the AGV car at the charging end, and calculate the revenue of the AGV car at the charging end and the fees that the electric car at the demand end needs to pay; S106, screening the final charging end AGV car, sending the relevant information of the best charging end AGV car to the client electric car for screening, and providing charging rescue service after the system matches.

2. The vehicle-to-vehicle wireless charging rescue method based on the AGV according to claim 1 is characterized in that: The price of the wireless charging mode is segmented according to the demand for charging rescue.

3. The vehicle-to-vehicle wireless charging rescue method based on the AGV according to claim 1 is characterized in that: There are two types of screening modes: The screening target is to select the AGV car with the highest profit at the charging end; The screening target is to have the lowest payment for electric vehicles on the demand side.

4. The vehicle-to-vehicle wireless charging rescue method based on the AGV according to claim 1 is characterized in that: The AGV car is centrally powered by the AGV car wireless charging station. After the AGV car completes the wireless charging rescue mission, it returns to the wireless charging station for energy replenishment. When the system receives a charging request next time, the system allocates a suitable AGV car to perform charging rescue services along the designated automatic driving route.

5. The vehicle-to-vehicle wireless charging rescue method based on the AGV according to claim 3 is characterized in that: The AGV wireless charging station uses solar energy or wind energy to wirelessly charge the AGV.

6. The vehicle-to-vehicle wireless charging rescue method based on the AGV according to claim 1 is characterized in that: The battery information of the AGV includes the total battery storage capacity, discharge depth, cycle life and price.

7. A vehicle-to-vehicle wireless charging rescue device based on an AGV, characterized in that: It includes an energy trading platform and an AGV wireless charging station. The AGV wireless charging station is the base camp for the AGV charging end of the entire wireless charging rescue system. The energy trading platform includes: A charging request receiving module is used to receive a charging request from a client vehicle and extract the vehicle-mounted information of the client electric vehicle, the vehicle-mounted information of the electric vehicle including: the geographical location of the electric vehicle, the estimated mileage to the destination or a nearby charging station, and the driving efficiency of the electric vehicle; The AGV car search module is used to search for charging AGV cars that can be charged within a certain range according to the geographical location of the client's electric car; The calculation module is used to calculate the distance between the client electric vehicle and each charging end AGV in the sample, the energy required by the client electric vehicle, the energy that each charging end AGV in the sample can provide, the difference between the energy that the charging end AGV can provide and the energy required by the client electric vehicle, the battery loss, the income of the charging end AGV and the fees that the demand-side electric vehicle needs to pay, and determine the efficiency and price in the wireless charging mode; The AGV screening module screens out sample information of all charging-end AGVs whose difference is greater than 0, based on the difference between the energy that the charging-end AGV can provide and the energy required by the client electric vehicle. The location information sending module is used to send the relevant information of the best charging end AGV car to the client electric car for screening.

8. An electronic device for wireless charging rescue between vehicles based on an AGV, characterized in that: The invention comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; the memory is used to store computer programs; and the processor is used to implement the steps of the method described in any one of claims 1 to 6 when executing the program stored in the memory.

9. A computer-readable storage medium having a computer program stored therein, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising instructions, characterized in that When the method is executed on a computer, the computer is enabled to execute the steps of implementing the method according to any one of claims 1 to 6.

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